{"id":"https://openalex.org/W2884350537","doi":"https://doi.org/10.1080/17538947.2018.1502369","title":"Detecting events from the social media through exemplar-enhanced supervised learning","display_name":"Detecting events from the social media through exemplar-enhanced supervised learning","publication_year":2018,"publication_date":"2018-07-24","ids":{"openalex":"https://openalex.org/W2884350537","doi":"https://doi.org/10.1080/17538947.2018.1502369","mag":"2884350537"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2018.1502369","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17538947.2018.1502369","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doaj.org/article/ff0cef1621a14f6dbc83f53af1d15282","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101907238","display_name":"Xuan Shi","orcid":"https://orcid.org/0000-0002-1387-5418"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuan Shi","raw_affiliation_strings":["Department of Geosciences, University of Arkansas, Fayetteville, AR, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geosciences, University of Arkansas, Fayetteville, AR, USA","institution_ids":["https://openalex.org/I78715868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034662923","display_name":"Bowei Xue","orcid":"https://orcid.org/0000-0002-8927-7190"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bowei Xue","raw_affiliation_strings":["Department of Geosciences, University of Arkansas, Fayetteville, AR, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geosciences, University of Arkansas, Fayetteville, AR, USA","institution_ids":["https://openalex.org/I78715868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021407370","display_name":"Ming\u2010Hsiang Tsou","orcid":"https://orcid.org/0000-0003-3421-486X"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming-Hsiang Tsou","raw_affiliation_strings":["Department of Geography, San Diego State University, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography, San Diego State University, San Diego, CA, USA","institution_ids":["https://openalex.org/I26538001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088393129","display_name":"Xinyue Ye","orcid":"https://orcid.org/0000-0001-8838-9476"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xinyue Ye","raw_affiliation_strings":["Urban Informatics & Spatial Computing Lab, Department of Informatics, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Urban Informatics & Spatial Computing Lab, Department of Informatics, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032316031","display_name":"Brian H. Spitzberg","orcid":"https://orcid.org/0000-0003-3838-6052"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Spitzberg","raw_affiliation_strings":["School of Communication, San Diego State University, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"School of Communication, San Diego State University, San Diego, CA, USA","institution_ids":["https://openalex.org/I26538001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105231313","display_name":"Jean Mark Gawron","orcid":null},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean Mark Gawron","raw_affiliation_strings":["Department of Linguistics, San Diego State University, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Linguistics, San Diego State University, San Diego, CA, USA","institution_ids":["https://openalex.org/I26538001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061159567","display_name":"Heather L. Corliss","orcid":"https://orcid.org/0000-0002-2553-6165"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heather Corliss","raw_affiliation_strings":["School of Public Health, San Diego State University, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"School of Public Health, San Diego State University, San Diego, CA, USA","institution_ids":["https://openalex.org/I26538001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100686648","display_name":"Jay Lee","orcid":"https://orcid.org/0000-0002-4022-4274"},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]},{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jay Lee","raw_affiliation_strings":["College of Environment and Planning, Henan University, Kaifeng, People\u2019s Republic of China","Department of Geography, Kent State University, Kent, OH, USA","College of Environment and Planning, Henan University, Kaifeng, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Environment and Planning, Henan University, Kaifeng, People\u2019s Republic of China","institution_ids":["https://openalex.org/I173899330"]},{"raw_affiliation_string":"Department of Geography, Kent State University, Kent, OH, USA","institution_ids":["https://openalex.org/I149910238"]},{"raw_affiliation_string":"College of Environment and Planning, Henan University, Kaifeng, People's Republic of China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103270436","display_name":"Ruoming Jin","orcid":"https://orcid.org/0000-0003-1895-4243"},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruoming Jin","raw_affiliation_strings":["Department of Computer Sciences, Kent State University, Kent, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, Kent State University, Kent, OH, USA","institution_ids":["https://openalex.org/I149910238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5088393129"],"corresponding_institution_ids":["https://openalex.org/I118118575"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":null,"fwci":1.9606,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86662787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"12","issue":"9","first_page":"1083","last_page":"1097"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7824362516403198},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7427341341972351},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.7364786863327026},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6546047329902649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6458588242530823},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6144493222236633},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.5780523419380188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5510974526405334},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.4845997095108032},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.4807262718677521},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47543051838874817},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.45695048570632935},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44312265515327454},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4239351749420166},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4157346189022064},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40810951590538025},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39889800548553467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3516739010810852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.255204439163208},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21869903802871704},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14657041430473328},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07823669910430908}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7824362516403198},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7427341341972351},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.7364786863327026},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6546047329902649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6458588242530823},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6144493222236633},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.5780523419380188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5510974526405334},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.4845997095108032},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.4807262718677521},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47543051838874817},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.45695048570632935},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44312265515327454},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4239351749420166},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4157346189022064},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40810951590538025},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39889800548553467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3516739010810852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.255204439163208},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21869903802871704},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14657041430473328},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07823669910430908},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17538947.2018.1502369","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17538947.2018.1502369","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ff0cef1621a14f6dbc83f53af1d15282","is_oa":true,"landing_page_url":"https://doaj.org/article/ff0cef1621a14f6dbc83f53af1d15282","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Digital Earth, Vol 12, Iss 9, Pp 1083-1097 (2019)","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:doaj.org/article:ff0cef1621a14f6dbc83f53af1d15282","is_oa":true,"landing_page_url":"https://doaj.org/article/ff0cef1621a14f6dbc83f53af1d15282","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Digital Earth, Vol 12, Iss 9, Pp 1083-1097 (2019)","raw_type":"article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G5366941210","display_name":null,"funder_award_id":"1416509","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309913","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W414110247","https://openalex.org/W900993354","https://openalex.org/W1534625513","https://openalex.org/W1570138946","https://openalex.org/W1594031697","https://openalex.org/W1632114991","https://openalex.org/W1680392829","https://openalex.org/W1817561967","https://openalex.org/W1880262756","https://openalex.org/W2012540132","https://openalex.org/W2074982482","https://openalex.org/W2081212507","https://openalex.org/W2091273188","https://openalex.org/W2098162425","https://openalex.org/W2107147570","https://openalex.org/W2109943925","https://openalex.org/W2124499489","https://openalex.org/W2133046612","https://openalex.org/W2136840027","https://openalex.org/W2152311353","https://openalex.org/W2165232124","https://openalex.org/W2168400688","https://openalex.org/W2169279737","https://openalex.org/W2238912199","https://openalex.org/W2342933002","https://openalex.org/W2750351539","https://openalex.org/W2757378429","https://openalex.org/W3099514962","https://openalex.org/W3202966348","https://openalex.org/W4237791300","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W3000203418","https://openalex.org/W3152143533","https://openalex.org/W3163388127","https://openalex.org/W2358264916","https://openalex.org/W2135511601","https://openalex.org/W2009152867","https://openalex.org/W2170543300","https://openalex.org/W4391992322","https://openalex.org/W2626769217","https://openalex.org/W2295641470"],"abstract_inverted_index":{"Understanding":[0],"and":[1,19,41,60,75,112,139],"detecting":[2,40],"the":[3,25,71,81,98,106],"intended":[4],"meaning":[5],"in":[6],"social":[7,12],"media":[8,13],"is":[9,48],"challenging":[10],"because":[11],"messages":[14,120],"contain":[15],"varieties":[16],"of":[17,27,65,93,137],"noise":[18],"chaos":[20],"that":[21],"are":[22],"irrelevant":[23],"to":[24,39,79,90,103,108,117],"themes":[26],"interests.":[28],"For":[29],"example,":[30],"conventional":[31],"supervised":[32],"classification":[33],"approaches":[34],"would":[35],"produce":[36],"inconsistent":[37],"solutions":[38],"clarifying":[42],"whether":[43],"any":[44],"given":[45],"Twitter":[46,84,94,119],"message":[47],"really":[49],"about":[50],"a":[51,55,122,135],"wildfire":[52,141],"event.":[53],"Consequently,":[54],"renovated":[56],"workflow":[57,63],"was":[58,131],"designed":[59],"implemented.":[61],"The":[62,127],"consists":[64],"four":[66],"sequential":[67],"procedures:":[68],"(1)":[69],"Apply":[70,87,97,114],"latent":[72],"semantic":[73],"analysis":[74],"cosine":[76,99],"similarity":[77,82,100],"calculation":[78,101],"examine":[80],"between":[83],"messages;":[85,95],"(2)":[86],"Affinity":[88],"Propagation":[89],"identify":[91],"exemplars":[92,107,116],"(3)":[96],"again":[102],"automatically":[104],"match":[105],"known":[109],"training":[110],"results,":[111],"(4)":[113],"accumulative":[115],"classify":[118],"using":[121],"support":[123],"vector":[124],"machine":[125],"approach.":[126],"overall":[128],"correction":[129],"ratio":[130],"over":[132],"90%":[133],"when":[134],"series":[136],"ongoing":[138],"historical":[140],"events":[142],"were":[143],"examined.":[144]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}